BCHoagland

Duke Mathematics '22

Pinned Repositories

attention-learn-to-route
Attention based model for learning to solve different routing problems
Language:Jupyter Notebook10
Autoencoders
Implementations of and latent space demonstrations with autoencoders, VAEs, and ß-VAEs in PyTorch
Language:Python00
ChaRLes
My personal Deep RL library
Language:Python1 0 101
DARLA
PyTorch implementation of the DARLA reinforcement learning pipeline
Language:Python9 1 13
Gandalf
Generative Adversarial Network library, implemented with PyTorch
Language:Python0 0 10
Glados
RNN for text generation
Language:Python0 1 61
latex
my latex files
Language:TeX1 1 01
Multi-Modal
Language:Python2 0 00
Sutton-and-Barto
Implementations of the Algorithms in the Sutton and Barto 'Reinforcement Learning - 2nd Ed.' Textbook
Language:Python00
VINS
Implementation of Value Iteration from Demonstrations with Negative Sampling (VINS) for conservative value function extrapolation
Language:Python20

BCHoagland's Repositories

BCHoagland/DARLA
PyTorch implementation of the DARLA reinforcement learning pipeline
Language:Python9 1 13
BCHoagland/Multi-Modal
Language:Python2 0 00
BCHoagland/VINS
Implementation of Value Iteration from Demonstrations with Negative Sampling (VINS) for conservative value function extrapolation
Language:Python20
BCHoagland/attention-learn-to-route
Attention based model for learning to solve different routing problems
Language:Jupyter Notebook10
BCHoagland/ChaRLes
My personal Deep RL library
Language:Python1 0 101
BCHoagland/latex
my latex files
Language:TeX1 1 01
BCHoagland/TDA-Project
Persistent homology and autoencoders
Language:Python11
BCHoagland/Autoencoders
Implementations of and latent space demonstrations with autoencoders, VAEs, and ß-VAEs in PyTorch
Language:Python00
BCHoagland/Gandalf
Generative Adversarial Network library, implemented with PyTorch
Language:Python0 0 10
BCHoagland/Glados
RNN for text generation
Language:Python0 1 61
BCHoagland/Sutton-and-Barto
Implementations of the Algorithms in the Sutton and Barto 'Reinforcement Learning - 2nd Ed.' Textbook
Language:Python00
BCHoagland/Anomaly-Detection
Language:Python
BCHoagland/bchoagland.github.io
My website
Language:HTML
BCHoagland/Conjugate-Gradient
Implementations of iterative methods for solving linear systems
Language:Python
BCHoagland/Continuity
Investigating the effects of replacing the typical Bellman backup with the HJB when using imperfect dynamics models
Language:Python
BCHoagland/CS-4104
Some implementations of the algorithms discusses and assigned in CS-4104
Language:Python
BCHoagland/CyberPatriot
Language:Shell
BCHoagland/Data-Modeling
Different basic approaches to modeling conditional stochastic datasets
Language:Python
BCHoagland/DE-CS-II
Duel Enrollment Computer Science II
Language:HTML
BCHoagland/disease-sim
Language:Python
BCHoagland/Evolution-Strategies
Language:Python0 0
BCHoagland/explosive
BCHoagland/Full-Q
Experiments with using policy re-parameterization to allow for the full computation of the Q-learning gradient
Language:Python1 0
BCHoagland/HackBI
Website for HackBI 2018. Created by Braden Hoagland
Language:HTML
BCHoagland/HJB-regularized-RL
Language:Python
BCHoagland/Iris
Iris personal assistant for the BigParser 2017 Summer Hackathon
BCHoagland/MUN-Timer
Custom timer for use when chairing MUN committees
Language:JavaScript
BCHoagland/RL-Utils
Generic RL training tools centered around PPO algorithm. Compatible with any OpenAI Gym environment
Language:Python
BCHoagland/spell-manager
Language:JavaScript
BCHoagland/Transfer-Learning
Implementations of and demonstrations with various transfer learning techniques
Language:Python